Correlation Between Bank Pembangunan and Bank Qnb
Can any of the company-specific risk be diversified away by investing in both Bank Pembangunan and Bank Qnb at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bank Pembangunan and Bank Qnb into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Pembangunan Daerah and Bank Qnb Indonesia, you can compare the effects of market volatilities on Bank Pembangunan and Bank Qnb and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bank Pembangunan with a short position of Bank Qnb. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Pembangunan and Bank Qnb.
Diversification Opportunities for Bank Pembangunan and Bank Qnb
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Bank is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Bank Pembangunan Daerah and Bank Qnb Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Qnb Indonesia and Bank Pembangunan is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bank Pembangunan Daerah are associated (or correlated) with Bank Qnb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Qnb Indonesia has no effect on the direction of Bank Pembangunan i.e., Bank Pembangunan and Bank Qnb go up and down completely randomly.
Pair Corralation between Bank Pembangunan and Bank Qnb
Assuming the 90 days trading horizon Bank Pembangunan Daerah is expected to generate 0.87 times more return on investment than Bank Qnb. However, Bank Pembangunan Daerah is 1.14 times less risky than Bank Qnb. It trades about 0.12 of its potential returns per unit of risk. Bank Qnb Indonesia is currently generating about 0.09 per unit of risk. If you would invest 2,500 in Bank Pembangunan Daerah on September 14, 2024 and sell it today you would earn a total of 900.00 from holding Bank Pembangunan Daerah or generate 36.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Pembangunan Daerah vs. Bank Qnb Indonesia
Performance |
Timeline |
Bank Pembangunan Daerah |
Bank Qnb Indonesia |
Bank Pembangunan and Bank Qnb Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Pembangunan and Bank Qnb
The main advantage of trading using opposite Bank Pembangunan and Bank Qnb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Pembangunan position performs unexpectedly, Bank Qnb can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank Qnb will offset losses from the drop in Bank Qnb's long position.Bank Pembangunan vs. Bank Mnc Internasional | Bank Pembangunan vs. Bank Qnb Indonesia | Bank Pembangunan vs. Bank Victoria International | Bank Pembangunan vs. Bank Rakyat Indonesia |
Bank Qnb vs. Bank Victoria International | Bank Qnb vs. Bank Mnc Internasional | Bank Qnb vs. Bank Bumi Arta | Bank Qnb vs. Bank Capital Indonesia |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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